[1]WANG Li,ZHOU Zhongfa,NIU Yingchao,et al.Spatial Analysis and Comprehensive Evaluation on Soil Nutrients in Northern Guizhou Agricultural Product Area Based on Entropy Weight-TOPSIS and GIS[J].Research of Soil and Water Conservation,2018,25(04):274-282.
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Spatial Analysis and Comprehensive Evaluation on Soil Nutrients in Northern Guizhou Agricultural Product Area Based on Entropy Weight-TOPSIS and GIS
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
25
Number of periods:
2018 04
Page number:
274-282
Column:
Public date:
2018-06-13
- Title:
- Spatial Analysis and Comprehensive Evaluation on Soil Nutrients in Northern Guizhou Agricultural Product Area Based on Entropy Weight-TOPSIS and GIS
- CLC:
- S158
- DOI:
- -
- Abstract:
- About 1 037 farmland soil samples from the agricultural product areas of Qianbei were analyzed. pH value, total N, available P, available K, organic matter were used as the indicators, the nutrients of soil samples of agricultural product areas were analyzed and evaluated with GIS, GS+ technology and entropy TOPSIS model. The results showed that: (1) in the study area, the soils were acidic or neutral，with abundant available K, medium total N, available P and relatively low organic matter, which is suitable for crop growth; (2) the semi-variance function models proposed that the organic matter, available K, total N, pH value fitted the exponential model and available P fitted spherical model, as well as the spatial variability structure of organic matter, available K were strong, and pH value, total N, available P were relatively weak; (3) the spatial distribution map of soil nutrient index showed that 2.55% of the area in the northern and western regions is high level with the island distribition; 32.43% of the area of the southwest, southeast, south and north regions was high level with band distribution; 55.45% of the study area was medium level, with the concentrated and surface distributions; 9.45% of the western, central and eastern part of the region was low level, with banded and island distributions, and the 0.11% of study area was very low. The results lay the foundation for mastering the nutrient abundance, the variation mechanism, the spatial distribution and the precise fertilization for the agricultural product areas in the north of Guizhou Province.
- References:
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